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Cybersecurity Data Engineering Manager
Capital Group. Define and execute the organization’s cybersecurity analytics, security data engineering, and security intelligence strategy .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in cybersecurity analytics, data engineering, and security intelligence, with a strong focus on leading technical teams and managing large-scale data pipelines. Proficient in developing security data models and enabling data-driven cybersecurity decisions to mitigate organizational risk.
Highest-signal resume keywords
Leadership Of Data ScientistsCybersecurity PrinciplesStatistical ModelingCloud-Native Data ArchitecturesPython And SQL Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical ModelingMachine LearningPredictive AnalyticsAnomaly DetectionBehavioral AnalyticsData GovernanceData IntegrationSecurity Data ModelsCyber Risk MeasurementOperational Metrics
Soft Skills
Stakeholder InfluenceConsensus-BuildingTeam Leadership
Tools & Technologies
AWSSnowflakeDatabricksCriblFluentdOTELSIEMSecurity Data LakeObservability PlatformsDashboarding Technologies
Certifications & Qualifications
Bachelor’s Degree In CybersecurityBachelor’s Degree In Computer Science
Industry Keywords
Cybersecurity AnalyticsSecurity OperationsThreat DetectionVulnerability ManagementSecurity TelemetryCloud SecurityData PipelinesEnterprise-Scale AnalyticsRegulatory RequirementsAudit Requirements
Tech Stack
Tools & technologiesAWSCloudCyber SecurityPythonSQL
About the role
Key responsibilities & impact- Define and execute the organization’s cybersecurity analytics, security data engineering, and security intelligence strategy
- Lead cybersecurity data scientists, data engineers, and security engineers
- Operate enterprise-scale SIEM engineering and security data pipelines
- Develop security data models, dashboards, data ingestion and integration frameworks
- Build advanced analytics and reporting to reduce organizational risk
- Transform security telemetry, operational data, threat intelligence, vulnerability data, cloud security signals, identity data, and business context into actionable intelligence
- Enable data-driven cybersecurity decisions
- Lead large, complex programs with significant organizational impact
- Support executive reporting, regulatory examinations, and audit requirements
Requirements
What you’ll need- Proven leadership of data scientists, data engineers, or security data professionals
- Demonstrated ability to lead large, complex programs with significant organizational impact
- Strong stakeholder influence and consensus-building with senior leadership
- Deep knowledge of cybersecurity principles, cyber risk measurement, security operations, threat detection, vulnerability management, cloud security, and security telemetry
- Expertise in statistical modeling, machine learning, predictive analytics, anomaly detection, and behavioral analytics
- Strong understanding of cybersecurity KPIs, KRIs, operational metrics, and risk analytics frameworks
- Deep expertise building large-scale data pipelines, streaming architectures, and data integration platforms
- Extensive experience designing security-focused data models and analytical data structures
- Experience managing enterprise-scale security telemetry and observability platforms
- Strong understanding of data governance, metadata management, lineage, quality management, and regulatory requirements
- Expertise in cloud-native data architectures and modern data platform design
- Proficiency in Python and SQL
- Experience with AWS, Snowflake, Databricks, or similar cloud-native technologies
- Experience with Cribl, Fluentd, OTEL, or similar observability technologies
- Experience with dashboarding and visualization technologies
- Strong understanding of cloud infrastructure, distributed computing, and enterprise-scale analytics environments
- Experience building and managing SIEM, security data lake, observability, and threat intelligence systems
- 12+ years of experience in cybersecurity analytics, data science, data engineering, security operations, or related disciplines
- Bachelor’s degree in Cybersecurity, Computer Science, or a related field
- 5+ years leading technical teams
- Experience building security data lakes and enterprise-scale security analytics platforms
- Experience supporting AI-enabled security initiatives and cyber risk measurement programs
- Experience supporting executive reporting, regulatory examinations, and audit requirements
Benefits
Comp & perks- Competitive salary
- Individual annual performance bonus
- Capital’s annual profitability bonus
- Retirement plan where Capital contributes 15% of eligible earnings
- Generous time-away and health benefits from day one
- Flexible work options
- 2-for-1 matching gifts for charitable contributions
- Opportunity to secure annual grants for charitable organizations
- On-demand professional development resources
- Company-funded retirement contribution